Overview

This one-day course, taking place at Cass Business School, London on 24 March 2015, presents an introduction to Stata 13. The course will provide an immersion into programming and Stata. Formal computing language concepts will be presented. Exercises involving these constructs will be programmed by the participants. Special Stata programming and statistical features will be discussed and utilised.

The course is aimed at the scientist needing the programming and data management skills necessary to independently work with the advanced statistical tools available in Stata. It will prepare new Stata users for advanced courses. Topics to be covered include basic Stata commands, data management and linear regression models.

Agenda

Learning Ratio

This course is 100% practical.

Daily Agenda

The course provides a flexible and comprehensive introduction to Stata, the powerful, sophisticated and constantly evolving statistical software. Taking a “learning-by-doing” approach, it aims to turn novice users into confident ones employing plenty of examples and a constant stream of challenging exercises. Given Stata’s scope -- there are thousands of available commands -- the course concentrates on understanding basic syntax and deciphering Stata’s extensive and coherent (yet underrated) help files and documentation. Participants leave with the know-how and courage to independently solve their own statistical puzzles.

Since no two students have the same experience and individuals learn different subjects at different speeds, the course is highly flexible: the agenda emerges dynamically and depends on the group’s prior background and knowledge of Stata. By the end of the course, however, all participants will feel comfortable undertaking the following tasks:

Opening, browsing, saving and importing datasets;

Renaming, labelling, ordering and creating data;

Summarising data;

Creating basic tables and graphs;

Automating tasks with do-files.

Having mastered the basics (and time permitting), the course then turns to more sophisticated topics. To ensure they match actual need, participants are encouraged to discuss their own real world data issues. Remaining time is spent introducing commands and concepts which resolve these problems, e.g., advanced data transformations, creating publication quality tables and basic looping structures.

Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).

Additional discounts are available for multiple registrations.

Cost includes course materials, lunch and refreshments.

Delegates are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course. (Alternatively, we can also provide laptops free of charge to attending delegates).

If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.

The number of delegates is restricted. Please register early to guarantee your place.